SGD with Variance Reduction beyond Empirical Risk Minimization. - Massil Achab; Agathe Guilloux; Stéphane Gaïffas; Emmanuel Bacry (CoRR, 2015)

Learning the Intensity of Time Events With Change-Points. - Mokhtar Z. Alaya; Stéphane Gaïffas; Agathe Guilloux (IEEE Trans. Inf. Theory, 2015)

Design influence on player retention: A method based on time varying survival analysis. - Thibault Allart; Guillaume Levieux; Michel Pierfitte; Agathe Guilloux; Stéphane Natkin (CIG, 2016)

Adaptive kernel estimation of the baseline function in the Cox model with high-dimensional covariates. - Agathe Guilloux; Sarah Lemler; Marie-Luce Taupin (J. Multivar. Anal., 2016)

Difficulty influence on motivation over time in video games using survival analysis. - Thibault Allart; Guillaume Levieux; Michel Pierfitte; Agathe Guilloux; Stéphane Natkin (FDG, 2017)

Binacox: automatic cut-points detection in high-dimensional Cox model, with applications to genetic data. - Simon Bussy; Mokhtar Z. Alaya; Agathe Guilloux; Anne-Sophie Jannot (CoRR, 2018)

Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework. - Simon Bussy; Raphaël Veil; Vincent Looten; Anita Burgun; Stéphane Gaïffas; Agathe Guilloux; Brigitte Ranque; Anne-Sophie Jannot (CoRR, 2018)

Binarsity: a penalization for one-hot encoded features in linear supervised learning. - Mokhtar Z. Alaya; Simon Bussy; Stéphane Gaïffas; Agathe Guilloux (J. Mach. Learn. Res., 2019)

IDNetwork: A deep Illness-Death Network based on multi-states event history process for versatile disease prognostication. - Aziliz Cottin; Nicolas Pécuchet; Marine Zulian; Agathe Guilloux; Sandrine Katsahian (SPACA, 2021)

SurvCaus : Representation Balancing for Survival Causal Inference. - Ayoub Abraich; Agathe Guilloux; Blaise Hanczar (CoRR, 2022)

Learning the Dynamics of Sparsely Observed Interacting Systems. - Linus Bleistein; Adeline Fermanian; Anne-Sophie Jannot; Agathe Guilloux (ICML, 2023)

On the Generalization Capacities of Neural Controlled Differential Equations. - Linus Bleistein; Agathe Guilloux (CoRR, 2023)

On the Generalization and Approximation Capacities of Neural Controlled Differential Equations. - Linus Bleistein; Agathe Guilloux (ICLR, 2024)

Dynamic Survival Analysis with Controlled Latent States. - Linus Bleistein; Van-Tuan Nguyen; Adeline Fermanian; Agathe Guilloux (ICML, 2024)

Dynamical Survival Analysis with Controlled Latent States. - Linus Bleistein; Van-Tuan Nguyen; Adeline Fermanian; Agathe Guilloux (CoRR, 2024)

MS-CPFI: A model-agnostic Counterfactual Perturbation Feature Importance algorithm for interpreting black-box Multi-State models. - Aziliz Cottin; Marine Zulian; Nicolas Pécuchet; Agathe Guilloux; Sandrine Katsahian (Artif. Intell. Medicine, 2024)